PulseDBAiPulseDBAi
Autonomous DBA Intelligence

The autonomous DBA for databases you can't move.

Oracle Autonomous Database is the gold standard — fully autonomous, cloud-native, extraordinary. But 80% of production Oracle and SQL Server workloads can't migrate: regulation, latency, cost, contracts, or just organizational reality. PulseDBAi exists for that 80%.

“If you can move to Oracle ADB, do it. If you can't — PulseDBAi brings the same philosophy of autonomous operations to the fleet you already have.”

4
AI Agents
24/7
Autonomous Monitoring
Sub-min
Auto-Fix Time
67-72%
Autonomous Coverage

Only two companies offer real database autonomy.

Most database monitoring tools call their dashboards “intelligence.” Here's what the market actually looks like.

TierProductAutonomy LevelNotes
Tier 1Oracle ADB~90%Gold standard. Cloud-native, full autonomy. Requires migration.
Tier 2PulseDBAiYou are here67-72%The autonomous DBA for databases you can't move. On-premises, multi-platform, continuously improving.
Tier 3Datadog~10–15%Strong observability layer. Alerts and dashboards, but minimal autonomous action.
Tier 4OEM / Foglight~5%Traditional enterprise monitoring. Metric-heavy, action-light.
Tier 5SolarWinds DPA / Redgate0–2%Reporting and tuning advisors. Human-in-the-loop for every action.

Autonomy Roadmap

We publish our autonomy targets openly. Here's what each milestone means in practice.

Today
67-72%

Wait event analysis, blocking chain resolution, tablespace management, explain plan review, SLA tracking.

Q4 2026
78%

Phase 3 Resilience target. Autonomous schema optimization, ML-driven anomaly baseline, multi-tenant policy enforcement.

2027
85%

Phase 4 Governance target. Near-Oracle-ADB parity for on-premises fleets. Full closed-loop remediation across Oracle and SQL Server.

What's Inside

Nine core capabilities, all working together in a single autonomous loop.

Wait Event Analysis

Deep root-cause analysis of Oracle and SQL Server wait events. Identifies whether the wait is systemic or transient and recommends action.

Blocking Chain Visualization

Maps full blocking trees in real time. Identifies the root blocker, affected sessions, and recommends the lowest-risk resolution.

Explain Plan Viewer

Captures and compares execution plans before and after tuning. Highlights regressions and cost delta with plain-language summaries.

SLA Tracking

Continuous measurement of query and job SLA compliance. Proactively escalates before breaches, not after.

Continuous Pulse Engine

Always-on health monitoring loop. Runs parallel health checks every minute across all monitored instances without agent overhead.

Parallel Health Checks

Concurrent checks for space, performance, security misconfigurations, and job health — completed in a single monitoring cycle.

ML Space Exhaustion Prediction

Regression models predict tablespace, tempfile, and log exhaustion hours before they occur — eliminating false-urgent night pages.

Natural Language Chat

Ask questions in plain English. Get back structured incident reports, query analysis, and recommended actions — not raw data dumps.

Persona-Driven UI

Different views for DBAs, managers, and executives. Each persona sees the signal that matters to them, not every metric.

Built Different

Six architectural decisions that separate autonomous operations from smart dashboards.

Four-Agent Loop with Confidence Gating

Monitor → Diagnose → Plan → Act. Every autonomous action must clear a configurable confidence threshold before execution. Below threshold: escalate with a fully-formed incident package.

MCP Security Boundary

All actions flow through a Model Context Protocol boundary. The AI cannot execute anything outside its defined policy scope — no open-ended shell access, no lateral movement.

Deterministic Severity Rules

Severity classification uses explicit rules, not LLM judgment. P1 is always P1. You can audit every classification decision against the published ruleset.

ML Regression Noise Filter

A regression model separates genuine performance degradation from normal variance. Eliminates the alert storms that come from monitoring tools that flag every deviation.

Cross-Platform Parity

Oracle and SQL Server share the same agent architecture, policy model, and reporting layer. One tool, one workflow, two engines.

On-Premises by Default

Deployed inside your network perimeter. Your queries and diagnostics never leave your environment. Air-gap compatible for regulated industries.

Platform Coverage

Every version we support is production-validated, not community-tested.

Oracle Database

19c21c23ai

Full parity: wait events, blocking chains, tablespace, explain plans, SLA tracking.

SQL Server

201720192022

Full parity with Oracle support. Shared policy model and reporting layer.

PostgreSQL

Roadmap

Planned. Architecture is engine-agnostic — PostgreSQL support ships when coverage is production-ready.

Ready to stop the 3 AM pages?

See PulseDBAi autonomously diagnose and resolve real incidents on your own database fleet.